Welcome to the website for the Center for Ultra-scale
Computing and Information Security at
Northwestern University. The Center participants include
faculty and researchers from the Department of Electrical Engineering and Computer Science,
the Feinberg School of Medicine, and the Kellogg School of
Management.
CUCIS also has participants from various national
labs such as Argonne National Labatory (ANL), Sandia
National Laboratory (SNL), Los Alamos National Laboratory
(LANL), Lawrence Livermore National Laboratory (LLNL), and
includes support from companies such as IBM, Intel, and Sun.

Today's "connect anytime and anywhere" society based on the
use of digital technologies is fueling tremendous data growth
and transforming the way our business, science, and digital
technology-based world functions. Data in the terabytes range
are not uncommon today and are expected to reach petabytes for
many application domains in science, engineering, business,
bioinformatics, and medicine in the near
future. Ultra-scale refers to the two to three orders
of magnitude increase in data sizes, computing power, and
complexity of data compared to what is considered today. As
data becomes so pervasive, assurance, trust and
security of information becomes of paramount importance. Secure
computing, therefore, must be considered as an important
parameter in any research dealing with ultra-scale computing.

The goal of the Center for Ultra-scale Computing and
Information Security (CUCIS) is to conduct highly innovative
research in many synergistic areas of ultra-scale computing
and information technologies. Furthermore, the goal of the center
is to foster and enable inter-disciplinary research in
computing technologies that scale to
these levels. The CUCIS is directed by Prof. Alok Choudhary, and is presently
supported by the NSF, DOE, Sandia National Labs, NASA, and
Intel.
To learn more, please use the navigation bar at the
top of the page, or go directly to descriptions of our various
research projects, a complete list of our publications,
or more information about the group members.

Software Developed by the Center:

Data Mining

NU-MineBench -- a collection of data mining algorithms and applications in sequential and parallel

3/27/2014- 4C, in partnership with Facebook has conducted a study to show the relationship between public Facebook behavioral data and television broadcast programming. By analyzing public Facebook data, 4C is helping networks make intelligent programming decisions and enabling brands to more strategically place relevant advertisements both on television and on Facebook. Read More

1/21/2014- Prof. Alok Choudhary has received major funding for his big data startup, 4C. The amount of $5 million from Chicago-based venture fund Jump Capital was awarded to the Social Intelligence Company based on 4C's platforms application of algorithms. Based on decades of research by Prof. Choudhary, these algorithm mine social-media data around the globe to help advertisers target their campaigns on television, Twitter, Facebook and other media channels. Read More

11/2013 -
Md. Mostofa Ali Patwary, Diana Palsetia, Ankit Agrawal, Wei-keng Liao, Fredrik Manne, and Alok Choudhary. "Scalable Parallel OPTICS Data Clustering Using Graph Algorithmic Techniques" has been published in the proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, November 17-22, 2013 in Denver, Colorado.

08/2013 -
Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza Samatova, Alok Choudhary, "Forecast Oriented Classification of Spatio-Temporal Extreme Events" has been published in the proceedings of the 23rd International Joint Conference on Artificial Intelligence to be held in Beijing, China, on August 3-9, 2013.- Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok Choudhary, "Detecting and Tracking Disease Outbreaks in Real-time through Social Media" has been published in the proceedings of the 23rd International Joint Conference on Artificial Intelligence to be held in Beijing, China, on August 3-9, 2013.

05/2013 -
Zhengzhang Chen, John Jenkins, Jinfeng Rao, Alok Choudhary, Fredrick Semazzi, Anatoli V Melechko, Vipin Kumar, and Nagiza F Samatova, "Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships" has been published in the proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013 in Austin, Texas.- Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Md Mostofa Ali Patwary, Yu Cheng, Haotioan Liu, Ankit Agrawal, and Alok Choudhary, "Graphical Modeling of Macro Behavioral Targeting in Social Networks" has been published in the proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013 in Austin, Texas.

04/2013 - Jason Scott Mathias, Ankit Agrawal, Joe Feinglass, Andrew J Cooper, David William Baker, Alok Choudhary, "Development of a 5 year life expectancy index in older adults using predictive mining of electronic health record data" has been published in the Journal of the American Medical Informatics Association, (04/2013), (pdf), (supplement).

03/2013 - Daniel Honbo, Amit Pande, Alok Choudhary, "FPGA Architecture for Pairwise Statistical Significance Estimation", has been published in The International Journal of High Performance Systems Architecture. Link